Phil Winder
CEO of Winder.AI, author of "Reinforcement Learning"
Phil Winder
CEO of Winder.AI, author of "Reinforcement Learning"
Dr. Phil Winder is a multidisciplinary engineer and data scientist. As the CEO of Winder.AI, an AI consultancy, he helps startups and enterprises develop their data-based processes, platforms, and products. Phil has thrilled thousands of engineers with his data science training courses in public, private, and on the O’Reilly online learning platform. His courses focus on using data science in industry and cover a wide range of hot yet practical topics, from cleaning data to deep reinforcement learning.
Phil specializes in implementing production-grade cloud-native machine learning and was an early champion of the MLOps movement. Phil holds a Ph.D. and M.Eng. in electronic engineering from the University of Hull. He is a regular speaker and active contributor in the data science community.
Check out some of Phil’s past talks:
- GOTO Chicago 2019 - Keep it Clean: Why Bad Data Ruins Projects and How to Fix it
- GOTO Copenhagen 2017 - The Meaning of (Artificial) Life
Upcoming masterclasses featuring Phil Winder
Practical AI for Software Engineers: A Data Scientist’s Perspective
In this interactive masterclass, attendees will gain hands-on experience in leveraging Generative AI, specifically large language models, in their projects. Led by a seasoned data scientist, this session will bridge the gap between AI theory and real-world software engineering applications, offering practical learnings and best practices for integrating AI into workflows.
Participants will explore key topics such as AI models, AI vendors, prompt engineering, AI agents, workflows, feedback mechanisms, reinforcement learning, fine-tuning, Retrieval-Augmented Generation (RAG), evaluation techniques, essential tools, and scalable platforms. Through guided exercises and lifelike examples, attendees will learn not just how to use AI, but how to adapt, optimize, and evaluate its impact on their software development processes.
Whether you’re new to AI or looking to refine your approach, this hands-on session will provide actionable insights to enhance your AI-powered engineering workflows with confidence.
Reserve your spot now
Content featuring Phil Winder
Keep it Clean: Why Bad Data Ruins Projects and How to Fix it
Developers _are_ Researchers - Improve the work you love with Research Driven Development
The Meaning of (Artificial) Life
Cloud-Native Data Science: Turning Data-Oriented Business Problems Into Scalable Solutions
Keep it Clean: Why Bad Data Ruins Projects and How to Fix it
Industrial Applications of Reinforcement Learning
A Code-Driven Introduction to Reinforcement Learning
Data Science, ML & AI - What's the Difference?
Online Safety Bill: How Global Platforms Use MLOps to Keep People Safe
ChatGPT from Scratch: How to Train an Enterprise AI Assistant
Prompt Engineering for Generative AI
Past masterclasses featuring Phil Winder
Data Science and Machine Learning for Developers (Beginner) | GOTO Copenhagen 2019
Data Science and Machine Learning for Developers (Intermediate) | GOTO Copenhagen 2019
Machine Learning: Data Science & Analytics for Developers (Tuesday) | GOTO Berlin 2019
Machine Learning: Data Science & Analytics for Developers (Monday) | GOTO Berlin 2019
Data Science & Analytics for Developers (Machine Learning) | GOTO Amsterdam 2018
Data Science & Analytics for Developers (Machine Learning) | GOTO Amsterdam 2017
Data Science and Analytics for Developers (Machine Learning, Thursday) | GOTO Copenhagen 2017
Data Science and Analytics for Developers (Machine Learning, Wednesday) | GOTO Copenhagen 2017
Data Science & Analytics for Developers (Machine Learning Tuesday) | GOTO Berlin 2017
Data Science & Analytics for Developers (Machine Learning) | GOTO Berlin 2017
Data Science and Analytics for Developers (Machine Learning) | GOTO Chicago 2018
Data Science and Analytics for Developers (Machine Learning) | GOTO Chicago 2018
Data Science and Machine Learning for Developers (Intermediate) | GOTO Chicago 2019
Data Science and Machine Learning for Developers (Beginner) | GOTO Chicago 2019
Data Science (ML/AI/Analytics/etc.) for Production Engineers (Beginner) | GOTO Amsterdam 2019
Data Science and Analytics for Developers (Machine Learning) | GOTO Copenhagen 2018
Data Science and Analytics for Developers (Intermediate) | GOTO Copenhagen 2018
Machine Learning: Data Science & Analytics for Developers (Monday) | GOTO Berlin 2018
Machine Learning: Data Science & Analytics for Developers (Tuesday) | GOTO Berlin 2018
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